webeet-io/layered-populate-data-pool-da
Jul 2025 – Jul 2025
1 Month active
Languages Used
CSVGeoJSONJSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data EngineeringData ScienceData ValidationDatabase ManagementDatabase PopulationDocumentation
Zharko Vukovich
PROFILE
Zharko Vukovich
Zarko Vukovic developed end-to-end geospatial data pipelines for the webeet-io/layered-populate-data-pool-da repository, focusing on urban analytics and cross-team data collaboration. He engineered workflows to populate and standardize Berlin districts and Spanish protection zones datasets, integrating JSON boundaries and polygons with PostGIS for robust spatial querying. Using Python, SQL, and Geopandas, Zarko ensured data integrity through schema standardization and comprehensive documentation, including Jupyter notebooks and governance artifacts. His work enabled reproducible, high-quality data ingestion and management, supporting faster access to complex geospatial datasets for urban planning and policy evaluation. The solutions demonstrated depth in data engineering and geospatial management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
231,137
Activity Months1
Your Network
152 people
Work History
July 2025
7 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary for the webeet-io/layered-populate-data-pool-da repository. Focused on delivering end-to-end geospatial data pipelines and schema standardization to enable ready-to-use datasets for urban analytics and cross-team collaboration. Delivered documented workflows, PostGIS integration, and governance artifacts to improve data quality and reuse across projects.
7 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary for the webeet-io/layered-populate-data-pool-da repository. Focused on delivering end-to-end geospatial data pipelines and schema standardization to enable ready-to-use datasets for urban analytics and cross-team collaboration. Delivered documented workflows, PostGIS integration, and governance artifacts to improve data quality and reuse across projects.
July 2025
Activity
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Quality Metrics
Correctness98.6%
Maintainability97.2%
Architecture98.6%
Performance94.2%
AI Usage28.6%
Skills & Technologies
Programming Languages
CSVGeoJSONJSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data EngineeringData ScienceData ValidationDatabase ManagementDatabase PopulationDocumentationEducational Content CreationGeoJSONGeoJSON HandlingGeopandasGeospatial Data HandlingGeospatial Data ManagementGit WorkflowJupyter NotebooksPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline